Instance


	Raw This is the CCM image before the decomposition procedure has been applied.	Decomposed This is the CCM image after a decomposition procedure has been applied. This is the image used by the MIC's image-based comparisons for this query instance.	Composite of MIC Top 5 Composite of the five decomposed CCM images from the MIC Top 5.	Composite of MIPLIB Top 5 Composite of the five decomposed CCM images from the MIPLIB Top 5.	Model Group Composite Image Composite of the decomposed CCM images for every instance in the same model group as this query.

Decomposed These decomposed images were created by GCG.
Name	opt1217 [MIPLIB]	50v-10 [MIPLIB]	neos-2075418-temuka [MIPLIB]	bienst2 [MIPLIB]	bienst1 [MIPLIB]
Rank / ISS The image-based structural similarity (ISS) metric measures the Euclidean distance between the image-based feature vectors for the query instance and all other instances. A smaller ISS value indicates greater similarity.	1 / 0.497	2 / 0.528	3 / 0.555	4 / 0.592	5 / 0.594
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.

Decomposed These decomposed images were created by GCG.
Name	pg5_34 [MIPLIB]	fhnw-schedule-paira400 [MIPLIB]	fhnw-schedule-paira100 [MIPLIB]	fhnw-schedule-paira200 [MIPLIB]	nh97_potential [MIPLIB]
Rank / ISS The image-based structural similarity (ISS) metric measures the Euclidean distance between the image-based feature vectors for the query instance and all model groups. A smaller ISS value indicates greater similarity.	23 / 0.778	300 / 1.219	384 / 1.291	385 / 1.293	576 / 1.490
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.

Instance Summary

The table below contains summary information for pg, the five most similar instances to pg according to the MIC, and the five most similar instances to pg according to MIPLIB 2017.

	INSTANCE	SUBMITTER	DESCRIPTION	ISS	RANK
Parent Instance	pg [MIPLIB]	M. Dawande	Multiproduct partial shipment model	0.000000	-
MIC Top 5	opt1217 [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.497275	1
	50v-10 [MIPLIB]	Serge Bisaillon	Network loading instance. Solved using ug[SCIP/spx], a distributed massively parallel version of SCIP run on 2,000 cores at the HLRN-II super computer facility.	0.527979	2
	neos-2075418-temuka [MIPLIB]	Hans Mittelmann	Collection of anonymous submissions to the NEOS Server for Optimization	0.555225	3
	bienst2 [MIPLIB]	H. Mittelmann	Relaxed version of problem bienst	0.592020	4
	bienst1 [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.594347	5
MIPLIB Top 5	pg5_34 [MIPLIB]	M. Dawande	Multiproduct partial shipment model	0.778104	23
	fhnw-schedule-paira400 [MIPLIB]	Simon Felix	Continuous-time project scheduling and selection, inspired by an industry use-case. Each project has a value, the sum should be maximized. Each project has a deadline, and an earliest start date. Three formulations of the same problem ("Pair A", "Pair B" and "Slot") - we expect "Pair B" to be the best formulation.	1.219158	300
	fhnw-schedule-paira100 [MIPLIB]	Simon Felix	Continuous-time project scheduling and selection, inspired by an industry use-case. Each project has a value, the sum should be maximized. Each project has a deadline, and an earliest start date. Three formulations of the same problem ("Pair A", "Pair B" and "Slot") - we expect "Pair B" to be the best formulation.	1.291003	384
	fhnw-schedule-paira200 [MIPLIB]	Simon Felix	Continuous-time project scheduling and selection, inspired by an industry use-case. Each project has a value, the sum should be maximized. Each project has a deadline, and an earliest start date. Three formulations of the same problem ("Pair A", "Pair B" and "Slot") - we expect "Pair B" to be the best formulation.	1.292828	385
	nh97_potential [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	1.490177	576

These are model group composite (MGC) images for the MIC top 5 model groups.
Name	mc	pizza	neos-pseudoapplication-74	neos-pseudoapplication-7	neos-pseudoapplication-99
Rank / ISS The image-based structural similarity (ISS) metric measures the Euclidean distance between the image-based feature vectors for the query instance and all other instances. A smaller ISS value indicates greater similarity.	1 / 1.063	2 / 1.208	3 / 1.257	4 / 1.277	5 / 1.334

Model Group Summary

The table below contains summary information for the five most similar model groups to pg according to the MIC.

	MODEL GROUP	SUBMITTER	DESCRIPTION	ISS	RANK
MIC Top 5	mc	F. Ortega, L. Wolsey	Fixed cost network flow problems	1.063007	1
	pizza	Gleb Belov	These are the models from MiniZinc Challenges 2012-2016 (see www.minizinc.org), compiled for MIP WITH INDICATOR CONSTRAINTS using the develop branch of MiniZinc and CPLEX 12.7.1 on 30 April 2017. Thus, these models can only be handled by solvers accepting indicator constraints. For models compiled with big-M/domain decomposition only, see my previous submission to MIPLIB.To recompile, create a directory MODELS, a list lst12_16.txt of the models with full paths to mzn/dzn files of each model per line, and say$> ~/install/libmzn/tests/benchmarking/mzn-test.py -l ../lst12_16.txt -slvPrf MZN-CPLEX -debug 1 -addOption "-timeout 3 -D fIndConstr=true -D fMIPdomains=false" -useJoinedName "-writeModel MODELS_IND/%s.mps" Alternatively, you can compile individual model as follows: $> mzn-cplex -v -s -G linear -output-time ../challenge_2012_2016/mznc2016_probs/zephyrus/zephyrus.mzn ../challenge_2012_2016/mznc2016_p/zephyrus/14__8__6__3.dzn -a -timeout 3 -D fIndConstr=true -D fMIPdomains=false -writeModel MODELS_IND/challenge_2012_2016mznc2016_probszephyruszephyrusmzn-challenge_2012_2016mznc2016_probszephyrus14__8__6__3dzn.mps	1.207536	2
	neos-pseudoapplication-74	Jeff Linderoth	(None provided)	1.257182	3
	neos-pseudoapplication-7	Jeff Linderoth	(None provided)	1.277049	4
	neos-pseudoapplication-99	NEOS Server Submission	Imported from the MIPLIB2010 submissions.	1.333715	5

Type:	Instance
Submitter:	M. Dawande
Description:	Multiproduct partial shipment model
	MIPLIB Entry

Model Group Assignment from MIPLIB:	no model group assignment
Assigned Model Group Rank/ISS in the MIC:	N.A. / N.A.

pg: Instance-to-Instance Comparison Results

Parent Instance (pg)

MIC Top 5 Instances

MIPLIB Top 5 Instances

Instance Summary

pg: Instance-to-Model Comparison Results

MIC Top 5 Model Groups

Model Group Summary